Analysis and Insights¶

I will be discussing the insights and findings of my analysis in this report

1st_pred_per_dog_percentage.png

First insight I checked was if there was an correlation between retweet_count and favorite count.As presented by the graph there is positive correlation between these two variables.The higher the retweet count , the higher the favorite count

1st figure 1st_pred_per_dog_percentage.png

2nd figure 2nd_pred_per_dog_percentage.png

3rd figure 3rd_pred_per_dog_percentage.png

From these three figure above, I was comparing the percentage of each dog_stage in prediction column. The first figure is the first prediction and it has high precision with six of the dog stages having an above 80% prediction accuracy rate , and notice that its the only figure with a 100% or 0.1 scale on the y-axis. Figure 2 and figure 3 go as hig as 0.5 and figure three being the lowest at 0.25.Figure one has a high accuracy prediction

1st figure true_v_false_1st.png

2nd figure true_v_false_2nd.png

3rd figure true_v_false_3rd.png

In this instance I wanted to measure how true or false values compare bewteen the three predictions and which one has a high true and false value as well as which one has a low true or false value. According to the chart above there's little disparity bewteen the false value with the first prediction having 500 values as false , whilst the 2nd prediction has the lowest of the three just below 500 and the third having the highest false value jjust edging above 500.This means the 2nd prediction has the lowest false value percentage rate. In terms of the true values percentage the highest is the 2nd prediction. By virtue of both these , we could conclude that the second predition is the most accurate out of three predictions

1st figure dog_stage_count_values-2.png

2nd figure Ratings_value_counts.png

In these two figure I wanted to get a feel of the mode and max and mix values.In the first figure I wanted to know the number of times a specific dog_stage appears in the group so that I know which dogs of which dog stage were most occuring. The data is poor because these more than 60% unkwown dog_stages but putting that aside, the dog stage that appeare the most is the pupper.

The second graph has all the data about the ratings provided. The most common rating given was 12/10 followed by 10/10 and 11/10 as the data shows.

1st figure correlation_rating_favorite-2.png

2nd Figure Rating_count_by_Year.png

The first figure tries to find the correlation between favourite count and the rating involved. To see if having the higher number of favorite count means the rating is going to high as well. and the data shows a fluctuation showing us that there is no correlation.

The second figure shows a comparison of the ratings by year. so each rating has been recorded as to how many times it showed in the data. ie the most popular rating by each year and in 2015 it was 10/10 and in 2016 it was 88/80 and 2017 it was 99/90. The three highest ratings come from the year 2016

1st figure favorite_tweet_count_in_months.png

2nd figure rewteet_count_in_Months.png

At this stage i wanted to see which month had the highest favorite count and retweet count and in both instances it was the month of June